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1

Arima Akito. Tōkyō: Kashinsha, 2002.

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2

Arima, Yoriyasu. Arima Yoriyasu nikki. Tōkyō: Shōyū Kurabu, 1997.

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3

Arima, Takashi. Arima Takashi shishū. Tōkyō: Doyō Bijutsusha, 1988.

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4

Tanaka, Mojirō. Hyōden Arima Takashi. Tōkyō: Doyō Bijutsusha Shuppan Hanbai, 2011.

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5

Iinkai, Shibukawa-shi Kyōiku. Arima kugūmado iseki. Shibukawa: Shibukawa-shi Kyōiku Iinkai, 1997.

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6

Yi, Sŭng-gi. Malssŭm i kot arimal. Sŏul: Arimal, 2022.

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7

Arima Ineko "waga ai". Tōkyō: Kōdansha, 1985.

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8

Gunma-ken Maizō Bunkazai Chōsa Jigyōdan, ed. Arima iseki: Yayoi, Kofun Jidai. Kitatachibana-mura (Gunma-ken): Gunma-ken kōko shiryō fukyūkai, 1990.

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9

Arima Akito kushū, fuki: Fuki. Tōkyō: Kadokawa Shoten, 2004.

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10

Malinin, Evgeniǐ. Prokli︠a︡tie Arimana. Moskva: AST, 2001.

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11

Arickx, Lydie. Lydie Arickx. Paris: Editions E. Koehler, 1989.

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12

1934-, Ten̲n̲akan̲ Arimati, and Kōvintarācu Ti, eds. Arimati ar̲upatu. Cen̲n̲ai: Ver̲r̲i Patippakam, 1994.

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13

Malinin, Evgeniǐ. Prokli︠a︡tie Arimana. Moskva: AST, 2000.

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14

Meyler, Aidan. Forecasting Irish inflation using ARIMA models. Dublin: Central Bank of Ireland, Economic Analysis, Research and Publications Department, 1998.

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15

Iinkai, Shibukawa-shi Kyōiku. Arima haiji ato hakkutsu chōsa gaihō. Shibukawa: Shibukawa-shi Kyōiku Iinkai, 1987.

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16

Gunma-ken Maizō Bunkazai Chōsa Jigyōdan, ed. Arima iseki 1: Ōkubo B iseki. Maebashi: Gunma-ken Kyōiku Iinkai, 1989.

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17

Juhnke, Fritz. Beginning arimaa: Chess reborn beyond computer comprehension. [Garland, Tex.?]: Flying Camel Publications, 2009.

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18

Cafe Ariman: (pjesme, pjesme u prozi, zapisi). Cetinje: OKF, 2014.

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19

Saho, Sasazawa. Aribai no uta. Tōkyō: Kōdansha, 1993.

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20

Văduva-Poenaru, Ion. Aripă nemărginită: Versuri. [Bucharest]: Cartea Românească, 1987.

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21

Arickx, Lydie. Lydie Arickx: Arborescences. Paris: In fine, 2020.

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22

Mondai ga arimasu. Tōkyō: Chikuma Shobō, 2009.

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23

Mori Arimasa no nikki. Tōkyō: Shinchi Shobō, 1986.

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24

Mori arimasa no nikki. Tōkyō: Chōbunsha, 1995.

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25

Mori Arimasa no nikki. Tōkyō: Shinchi Shobō, 1987.

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26

Prokli͡atie Arimana: Razdelennyĭ mir. Moskva: Izd-vo AST, 2001.

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27

Sako, Jun'ichirō. Mori Arimasa no nichiki. Tōkyō: Shinchi Shobō, 1986.

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28

Yŏ, Un-bang. Sŭngpŏp kyejŏl ARIMA mohyŏng ŭi kujo sikpyŏl pangbŏp. Sŏul Tʻŭkpyŏlsi: Hang̕uk Kaebal Yŏng̕uwŏn, 1985.

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29

Sorenara ii ie arimasu yo. Tōkyō: Kōdansha, 2013.

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30

Arickx, Lydie. Lydie Arickx: Oublier qu'on peint. Montreuil: Gourcuff Gradenigo, 2016.

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31

Tochiori, Kumiko. Mori Arimasa Sensei no koto. Tōkyō: Chikuma Shobō, 2003.

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32

Ōsuga, Toshiyuki. Doro no bosatsu: NGO ni ikita bukkyōsha Arima Jitsujō. Tōkyō: Dai Hōrinkaku, 2006.

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33

Iinkai, Shibukawa-shi Kyōiku. Arima haiji ato: 1986-nendo chōsa ni tomonau hōkokusho. Shibukawa: Shibukawa-shi Kyōiku Iinkai, 1988.

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34

Arima, Takashi. Journey to the real: Selected poems of Takashi Arima. New York: Weatherhill, 1993.

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35

Hella, Heikki. On robust ESACF indentification [sic] of mixed ARIMA models. [Helsinki]: Bank of Finland, 2003.

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36

Amish, 'Abd al-Qadir. Sukut....: Al-'arifah Izabil tatahaddath; riwayah. Tīzī Wazū: Amal, 2019.

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37

Bellmunt, Domenec De. Entre Aribau I Princesa: Novella Barcelonina. Barcelona: Scripta, 1986.

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38

Cordova, José V. López. Aricaxa en las huellas del pasado. [La Paz, Bolivia?: s.n.], 1991.

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39

Indramaṇi, Nāoroibama, ed. Bidhi noṃdambā: Maitaigī aribā khūt̲ai lāirika. Imphāla: Nāoroibama Boiboi, 1995.

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40

Pal̲aniccāmi, Ti. Pulavarēr̲u Arimati Ten̲n̲akan̲ār kāṇikkai tanta kan̲ikaḷ. Vil̲uppuram, Te. Ā. Mā: Muttup Patippakam, 1988.

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41

Williams, Nyasha John. Arima, a historical perspective from Indian mission to royal borough. [Arima?: s.n., 1988.

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42

MARQUÉS, Felicidad. AUTOMATIC TIME SERIES FORECASTING Using NEURAL NETWORKS, STATE SPACE and ARIMAX MODELS. Examples with R. Independently Published, 2021.

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43

Arima. Independently Published, 2021.

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44

Baum, Alexander. Workbook: Arima. Independently Published, 2021.

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45

McCleary, Richard, David McDowall, and Bradley J. Bartos. ARIMA Algebra. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190661557.003.0002.

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The goal of Chapter 2 is to derive the properties of common processes and, based on these properties, to develop a general scheme for classifying processes. Stationary processes includes white noise, moving average (MA), and autoregressive (AR) processes. MA and AR models can approximate mixed ARMA models. A lag or backshift operator is used to solve ARIMA models for time series observations or random shocks. Covariance functions are derived for each of the common processes.Maximum likelihood estimates are introduced for the purposes of estimating autoregressive and moving average parameters.
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46

Baum, Alexander. Workbook: Arima. Independently Published, 2021.

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47

Baum, Alexander. Workbook: Arima. Independently Published, 2021.

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48

Arima Yoriyasu nikki. Yamakawa Shuppansha, 1997.

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49

Mikio, Toyama. Hizen Arima ichizoku. Shin Jinbutsu Oraisha, 1997.

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50

House, GetSports. Just a Boy Who Loves Christmas and Arimaa: Arimaa Lovers Journal. Independently Published, 2021.

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